mirror of https://github.com/SHOGGOTH-SECTOR/sica-fondt.git synced 2026-08-01 08:30:20 +00:00

Consolidate 22 sibling repos into layered organism structure

Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c

2026-06-10 06:53:01 +00:00

1.6 KiB

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API Reference — Performing Indicator Lifecycle Management

Libraries Used

csv: Parse IOC feed CSV files
re: Pattern matching for IOC extraction (IP, domain, hash, URL, email, CVE)
pathlib: Read text reports for IOC extraction

CLI Interface

python agent.py extract --file threat_report.txt
python agent.py ingest --csv ioc_feed.csv
python agent.py expire --csv ioc_db.csv [--ttl 90]
python agent.py dedup --csv ioc_feed.csv
python agent.py report --csv ioc_db.csv [--ttl 90]

Core Functions

`extract_iocs(text_file)` — Extract IOCs from unstructured text

Regex patterns for: IPv4, domain, MD5, SHA1, SHA256, URL, email, CVE.

`ingest_ioc_feed(csv_file)` — Normalize IOC feed data

Auto-detects IOC type if not specified. Normalizes column names across feed formats.

`check_expiration(ioc_db_file, ttl_days)` — Identify expired indicators

Compares first_seen date against TTL threshold (default 90 days).

`deduplicate_iocs(csv_file)` — Merge duplicate IOCs

Groups by indicator value, tracks source attribution and occurrence count.

`generate_lifecycle_report(csv_file, ttl_days)` — Full lifecycle status

Combines ingestion, deduplication, and expiration into single report.

IOC Pattern Types

Type	Example
ipv4	192.168.1.1
domain	evil.example.com
md5	d41d8cd98f00b204e9800998ecf8427e
sha256	e3b0c44298fc1c149afbf4c8996fb924...
url	https://malware.example.com/payload
cve	CVE-2024-12345

Dependencies

No external packages — Python standard library only.

1.6 KiB Raw Blame History